566 search results - page 6 / 114 » Neural-Based Learning Classifier Systems |
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
ECML
1998
Springer
14 years 3 days ago
1998
Springer
: Image understanding often requires extensive background knowledge. The problem addressed in this paper is such knowledge can be acquired. We discuss how relational machine learni...
CEC
2007
IEEE
13 years 12 months ago
2007
IEEE
XCS with Computed Action, briefly XCSCA, is a recent extension of XCS to tackle problems involving a large number of discrete actions. In XCSCA the classifier action is computed wi...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...